Authorship identification and verification using machine and deep learning methods

The article presents research aimed at analyzing methods of text authorship identification and verification. The methods of transforming texts into vector representations and determining authorship through text classification are investigated. A dataset is formed, on which the investigated methods are tested, after which conclusions about their effectiveness are drawn. Further research directions are also proposed